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A Neutrosophic Approach to Improving Sentiment Classification Accuracy in Social Media Analytics
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Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study
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Editorial: Large Language Models for medical applications
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Authorship Classification in a Resource Constraint Language Using Convolutional Neural Networks
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Application of data query robots based on large language models in the medical field
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Disentangling Reasoning Factors for Natural Language Inference
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The meaning of sentiment analysis of UN speeches on the Russia-Ukraine war: a comparative study using VADER and BERT NLP techniques
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Intelligent Virtual Assistant for Calculating Technology Readiness Levels Using Large Language Models (LLM)
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Application of neural network technology for public opinion analysis
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Artificial Intelligence in Recruitment: Navigating the Era of Web 4.0
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Automatic bridge inspection database construction through hybrid information extraction and large language models
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Aspect-based sentiment analysis of user-generated content from a microblogging platform
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Enhancing Human–Robot Interaction: Development of Multimodal Robotic Assistant for User Emotion Recognition
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Effects of anti-epidemic (quarantine) measures on people during the COVID-19 pandemic: applying social network analysis to identify the key topics
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Balancing act: Tackling organized retail fraud on e-commerce platforms with imbalanced learning text models
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Enhanced OCR Recognition for Madurese Text Documents: A Genetic Algorithm Approach with Tesseract 5.5
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